AI Enablement Lead [gn] Data Intelligence
Tasks
- Build LLM powered retrieval augmented generation workflows
- Define AI tooling standards for vector databases and embeddings
- Design AI platforms
- Develop semantic search and caching approaches
- Establish LLMOps and MLOps practices
- Evaluate AI vendors and open-source models
- Implement model governance and evaluation
- Integrate generative AI into data solutions
- Lead AI workshops and knowledge sharing
- Monitor security privacy and performance
- Optimize AI infrastructure costs latency and throughput
- Prototype AI solutions from proof of concept to production
Perks/Benefits
Skills/Tech-stack
Automated testing | CI/CD | Clean architecture | Docker | Fine Tuning | Generative AI | Go | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Milvus | Model Evaluation | Monitoring | PGVector | Pinecone | Privacy | Prompt engineering | Python | Security | Semantic Search | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Architect
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